Statistics Training in Stockholm

This instructor-led, live training in Stockholm (online or onsite) targets intermediate-level engineers and designers who wish to use DFSS to ensure that quality is built into the product or process from the start of the design phase.

By the end of this training, participants will be able to:

• Understand the principles and concepts of Design Six Sigma (DFSS).
• Learn the DMAIC (Define, Measure, Analyze, Improve, Control) and DMADV (Define, Measure, Analyze, Design, Verify) methodologies.
• Apply DFSS tools and techniques to design and optimize processes.
• Develop skills to manage and lead DFSS projects effectively.

This instructor-led live training in Stockholm (online or onsite) is aimed at advanced-level professionals who wish to gain an in-depth understanding of the Six Sigma DMAIC methodology at a Black Belt level.

By the end of this training, participants will be able to:

• Develop a comprehensive understanding of the Define, Measure, Analyze, Improve, and Control phases with a focus on complex projects.
• Gain expertise in advanced statistical analysis techniques for data-driven decision-making.
• Lead large-scale Six Sigma projects and manage project teams effectively.
• Implement significant process improvements that align with organizational goals and strategies.

R Markdown is an authoring framework that combines executable R code with narrative text to create dynamic and reproducible documents.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level R users who wish to generate automated, dynamic reports using R Markdown for internal documentation, research publications, or web publishing.

By the end of this training, participants will be able to:

• Create R Markdown documents with embedded R code chunks and formatted text.
• Generate outputs in multiple formats including HTML, PDF, and Word.
• Use parameterized reports and conditional logic to generate dynamic content.
• Customize document appearance with themes, templates, and LaTeX for professional presentation.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Stockholm (online or onsite) is aimed at intermediate-level professionals who wish to have a comprehensive understanding of the DMAIC methodology and prepare for the role of an effective Six Sigma Green Belts.

By the end of this training, participants will be able to:

• Gain a thorough knowledge of the Define, Measure, Analyze, Improve, and Control phases of Six Sigma.
• Apply a wide range of Six Sigma tools and techniques effectively within each phase of DMAIC.
• Perform and interpret statistical analyses for process improvement.
• Plan, execute, and manage a Six Sigma project.

This instructor-led, live training in Stockholm (online or onsite) is designed for beginner-level professionals seeking a fundamental understanding of Lean and Six Sigma principles to integrate and enhance business processes.

By the end of this training, participants will be able to:

• Gain a solid understanding of Lean Six Sigma principles.
• Apply Six Sigma methodologies to improve process quality by removing the causes of defects and minimizing variability.
• Integrate Lean and Six Sigma methodologies to achieve more efficient and effective process improvements.
• Explain basic Lean Six Sigma tools and techniques that Yellow Belts can apply in process improvement projects, such as 5S, Kaizen, and process mapping.

This instructor-led, live training in Stockholm (online or onsite) is aimed at intermediate-level professionals who wish to understand both Six Sigma and Lean principles in order to lead significant process improvement projects in their organizations.

By the end of this training, participants will be able to:

• Develop a comprehensive understanding of how Lean and Six Sigma methodologies can be integrated for process improvement.
• Gain in-depth knowledge and application skills in the Define, Measure, Analyze, Improve, and Control phases.
• Apply advanced statistical tools for data-driven decision-making and process analysis.
• Lead and manage Lean Six Sigma projects effectively.

This instructor-led, live training in Stockholm (online or onsite) is designed for data analysts and anyone interested in learning how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.

Upon completion of this training, participants will be able to:

• Conduct data analysis using Python, R, and SQL.
• Derive insights through data visualization with Tableau.
• Drive business operations with data-informed decisions.

This instructor-led, live training in Stockholm (online or onsite) is aimed at beginner-level professionals who wish to clean and analyze data, make statistical projections, and create insightful visualizations using these tools.

By the end of this training, participants will be able to:

• Understand the basics of Python, R, Power Query, and Power BI for data analysis.
• Clean and organize datasets using Python and Power Query.
• Perform statistical analysis and projections with R.
• Create professional dashboards and reports with Power BI.
• Integrate and analyze data from multiple sources effectively.

This instructor-led live training in Stockholm (online or onsite) targets advanced professionals who wish to acquire the skills to manage complex Six Sigma projects and take on leadership roles in Six Sigma and Lean implementations.

By the end of this training, participants will be able to:

• Develop a deep understanding of advanced Six Sigma and Lean methodologies and tools.
• Lead complex process improvement projects that align with organizational strategies.
• Perform complex statistical analyses and make data-driven decisions.
• Effectively lead change initiatives and build a culture of continuous improvement.

This instructor-led, live training in Stockholm (online or onsite) targets beginner-level professionals who wish to gain a deeper understanding of the Six Sigma methodology and its principles, and to master the DMAIC process.

By the end of this training, participants will be able to:

• Gain knowledge beyond the basic principles covered in the White Belt course.
• Master the DMAIC process and learn advanced Six Sigma tools.
• Learn how to effectively contribute to a Six Sigma project team and collaborate with Green and Black Belts.
• Apply Six Sigma methodologies to real-world business processes for improvement.

Shiny is an R package that allows users to create interactive and dynamic web applications directly from R, eliminating the need for JavaScript knowledge or complex web frameworks.

This instructor-led live training (available online or onsite) targets intermediate R users who want to build and deploy custom web applications using Shiny for data visualization, user interaction, and reporting.

Upon completing this training, participants will be able to:

• Create interactive web applications using Shiny and R.
• Design user interfaces featuring reactive elements and dynamic inputs.
• Integrate data visualizations and reporting capabilities into Shiny applications.
• Deploy and share Shiny applications locally or online via Shiny Server or Posit Cloud.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical sessions.
• Hands-on implementation in a live laboratory environment.

Customization Options for the Course

• To request tailored training for this course, please contact us to make arrangements.

This instructor-led, live training in Stockholm (online or onsite) is aimed at beginner-level professionals who wish to have a basic understanding of the Six Sigma methodology and its principles.

By the end of this training, participants will be able to:

• Understand the basics of Six Sigma and learn the DMAIC process.
• Understand the specific roles and responsibilities of a White Belt in the context of a Six Sigma project.
• Learn how to apply Six Sigma principles to identify improvement opportunities and support Six Sigma projects within an organization.

This instructor-led, live training in Stockholm (online or onsite) is designed for scientists who wish to learn and apply Design of Experiments (DoE) to understand the cause-and-effect relationships between multiple factors.

By the end of this training, participants will be able to:

• Understand the advantages of designed experiments over other approaches.
• Understand the cause-and-effect relationships and interactions between factors.
• Learn the best practices and guidelines for conducting successful experimentation.

This instructor-led, live training in Stockholm (online or onsite) is designed for individuals seeking to learn and master the fundamentals of econometric analysis and modeling.

Upon completion of this training, participants will be able to:

• Acquire a solid understanding of econometric fundamentals.
• Effectively utilize EViews and risk simulators.

This instructor-led, live training in Stockholm (online or onsite) is aimed at intermediate-level to advanced-level computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R.

By the end of this training, participants will be able to:

• Effectively use Stata for data analysis and statistical modeling.
• Compare Stata’s functionalities with SPSS and R.
• Integrate Stata with R for seamless statistical computing.
• Develop and automate workflows using Stata and R.

R is a widely utilized, open-source environment for statistical computing, data analytics, and graphics. This course provides an introduction to the R programming language for students. It encompasses language fundamentals, libraries, and advanced concepts, along with practical data analytics and graphing techniques using real-world data.

Target Audience

Developers and data analytics professionals

Duration

3 days

Format

Lectures and hands-on exercises

Data analytics plays a pivotal role in modern business. This course emphasizes the development of practical, hands-on data analysis skills, enabling participants to provide evidence-based answers to key questions:

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

Exploring Financial Data in Excel equips financial analysts and accountants with advanced techniques for automating complex calculations and reports. It covers core principles of financial functions, INDEX-MATCH lookups, database queries, PivotTables, PivotCharts, and external data integration. The course delves into Goal Seek, Solver, Analysis ToolPak, and VBA macros for automating recurring workflows. It helps professionals transform raw figures into actionable financial insights and accurate forecasts for strategic planning.

This instructor-led, live training in Stockholm (online or onsite) is aimed at intermediate-level advanced R users who wish to use R to build faster workflows, improve code quality, and handle more complex analysis tasks.

By the end of this training, participants will be able to: create reusable functions, improve data workflows, debug and optimize code, and produce reproducible reports.

Big Data encompasses solutions designed for storing and processing extensive datasets. Originally developed by Google, these Big Data technologies have evolved and inspired numerous other initiatives, many of which are open-source. R is a widely used programming language within the financial sector.

This instructor-led, live training in Stockholm (online or onsite) is aimed at beginner-level data analysts who wish to use R programming to manipulate data, perform basic data analysis, and create compelling visualizations for insights.

By the end of this training, participants will be able to:

• Understand the basics of R Programming.
• Apply fundamental data science processes.
• Create visual representations of data.

This live, instructor-led training in Stockholm (available online or onsite) is tailored for data scientists who wish to utilize Python and R for KNIME programming.

By the conclusion of this training, participants will be able to:

• Plan, build, and deploy machine learning models in KNIME.
• Make data driven decisions for operations.
• Implement end to end data science projects.

Establishing trust in statistical analysis starts with Minitab, a widely recognized industry standard for quality assurance and analytical decision-making. This course explores essential techniques covering descriptive statistics, distribution modeling, regression analysis, experimental design, and control charts for process monitoring. It prepares professionals to apply confidence intervals, hypothesis testing, and analysis of variance (ANOVA) workflows to uncover actionable insights within complex datasets.

This instructor-led, live training in Stockholm (online or onsite) is aimed at process department personnel and operations team members who wish to master practical process improvement techniques using Six Sigma principles and BPMN 2.0 modeling.

Statistics Level 1 introduces essential statistical methods and metrics for data professionals. The course explores data visualization and the summarization of data distributions, with a focus on recognizing normal distribution patterns. Participants learn to compute key analytical metrics such as mean, median, mode, standard deviation, and variance. This training provides the foundational skills required to manage real-world datasets and generate evidence-based insights, making it ideal for those seeking to build a robust quantitative base for data science and analytics.

This instructor-led live training, available online or on-site, targets data analysts who wish to apply Stata and R for the statistical analysis of big data.

By the end of this training, participants will be able to:

• Develop statistical models to predict key variables of interest and significant events.
• Produce descriptive visualizations, summary tables, frequency distributions, and additional analytical outputs.
• Manage and structure large databases to effectively prepare for data analysis.

Upon completion of this training, participants will be able to:

This instructor-led, live training in Stockholm (online or onsite) is designed for data scientists who wish to program in R for Tableau.

• Implement Tableau analytics with R.
• Return values to Tableau with learning algorithms in R.
• Structure and visualize R functions in Tableau.
• Make data driven decisions for business operations.

This instructor-led, live training in Stockholm (online or onsite) is aimed at advanced-level data professionals who wish to use Tableau to build complex visualizations, optimize dashboards, and perform advanced data analysis.

By the end of this training, participants will be able to: install and configure Tableau for advanced use, create advanced calculations, design interactive dashboards, and optimize performance.

Description:

This course empowers R users to build web applications without requiring knowledge of cross-browser HTML, JavaScript, or CSS.

Objective:

Explores the fundamental mechanisms behind how Shiny applications function.

Encompasses all frequently utilized input, output, rendering, and paneling functions available in the Shiny library.

This instructor-led, live training in Stockholm (online or onsite) is aimed at intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R.

By the end of this training, participants will be able to:

• Understand the fundamentals of forecasting techniques in R.
• Apply exponential smoothing and ARIMA models for time series analysis.
• Utilize the ‘forecast’ package to generate accurate forecasting models.
• Automate forecasting workflows for business and research applications.